The phone survey was conducted to gather data on the socio-economic impact of COVID-19 crisis in Vanuatu. Community transmission of COVID-19 in Vanuatu started only in March 2022 followed by the nation-wide lockdown and other restrictions. Round 1 HFPS survey was a timely process to observe the effect of the crisis on the country. Round 1 interviewed 2,515 households both in urban and rural regions of the country from July 2022 to September 2022.
Regional wave data were obtained by downscaling the 7-years hindcast of the Centre for Australian Weather and Climate Research (CAWCR) using the unstructured version of SWAN (Simulating WAves Nearshore; Booij et al., 1999).
A strong evidence base is needed to understand the socioeconomic implications of the COVID-19 pandemic for the Solomon Islands. High Frequency Phone Surveys (HFPS) are designed to collect data on the evolving implications of the COVID-19 pandemic over several years. This data is the second of at least five planned rounds of mobile surveys.
A strong evidence base is needed to understand the socioeconomic implications of the coronavirus pandemic for the Solomon Islands. High Frequency Phone Surveys (HFPS) are set up to understand these implications over the years. This data is the third of the five planned rounds of mobile surveys.
A strong evidence base is needed to understand the socioeconomic implications of the coronavirus pandemic for the Solomon Islands. High Frequency Phone Surveys (HFPS) are set up to understand these implications over the years. This data is the fourth of the five planned rounds of mobile surveys.
The phone survey was conducted to gather data on the socio-economic impacts of COVID-19 crisis, as well as the Hunga Tonga-Hunga Ha'apai volcanic eruption and tsunami in Tonga. Round 1 interviewed 2,527 households both in urban and rural regions of the country from April 12, 2022, to May 7, 2022. Survey topics included employment and income, food security, coping strategies, access to health services, asset ownership, and preparedness.
A strong evidence base is needed to understand the socioeconomic implications of the coronavirus pandemic for the Papua New Guinea. High Frequency Phone Surveys (HFPS) are set up to understand these implications over the years. This data is the fourth round in a series of mobile phone surveys.
The objective of the third round of the World Bank high frequency mobile phone survey was to measure the continued socioeconomic impacts of COVID-19 in Papua New Guinea, including on livelihoods, food security, and public safety and security. The survey consisted of the following modules: Basic Information, Vaccine, Employment and Income, Food Access and Food Security, Health, Public Trust and Security, and Assets and Wellbeing. The questions on employment and income were asked to the respondent and to the household head if different from the respondent.
A strong evidence base is needed to understand the socioeconomic implications of the coronavirus pandemic for the Papua New Guinea. High Frequency Phone Surveys (HFPS) are set up to understand these implications over the years. This data is the fifth round in a series of mobile phone surveys.
Global EEZ layer are the layers gathered from gazetted datasets that the Pacific Community (SPC) has received from the project countries. In areas where there are no gazetted datasets provisional layers are being sourced from the Global Marine Regions database (https://www.marineregions.org/).
There are two layers available, he .shp file layer and the .kml layer which are being used by partners and member states in particular FFA for the Regional Fisheries Surveillance Center (RFSC).
This is a subset of [Population projections](https://stats.pacificdata.org/vis?locale=en&dataflow[datasourceId]=SPC2…)
Population projections for Pacific Island Countries and territories from 1950 to 2050, by sex and by 5-years age groups.
This is a subset of [Population projections](https://stats.pacificdata.org/vis?locale=en&dataflow[datasourceId]=SPC2…)
Population projections for Pacific Island Countries and territories from 1950 to 2050, by sex and by 5-years age groups.
This is a subset of [Population projections](https://stats.pacificdata.org/vis?locale=en&dataflow[datasourceId]=SPC2…)
Population projections for Pacific Island Countries and territories from 1950 to 2050, by sex and by 5-years age groups.
This is a subset of [Population projections](https://stats.pacificdata.org/vis?locale=en&dataflow[datasourceId]=SPC2…)
Population projections for Pacific Island Countries and territories from 1950 to 2050, by sex and by 5-years age groups.
This is a subset of [Population projections](https://stats.pacificdata.org/vis?locale=en&dataflow[datasourceId]=SPC2…)
Population projections for Pacific Island Countries and territories from 1950 to 2050, by sex and by 5-years age groups.
This is a subset of [Population projections](https://stats.pacificdata.org/vis?locale=en&dataflow[datasourceId]=SPC2…)
Population projections for Pacific Island Countries and territories from 1950 to 2050, by sex and by 5-years age groups.
This is a subset of [Population projections](https://stats.pacificdata.org/vis?locale=en&dataflow[datasourceId]=SPC2…)
Population projections for Pacific Island Countries and territories from 1950 to 2050, by sex and by 5-years age groups.
This is a subset of [Population projections](https://stats.pacificdata.org/vis?locale=en&dataflow[datasourceId]=SPC2…)
Population projections for Pacific Island Countries and territories from 1950 to 2050, by sex and by 5-years age groups.